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R. Scranton, M. Blanton (FNAL), A. J. Connolly (University of Pittsburgh), S. Dodelson (FNAL), D. J. Eisenstein (University of Chicago), J. Frieman (FNAL), B. Jain (Johns Hopkins University), D. Johnston (University of Chicago), R. Kim (Princeton University), L. Knox (University of Chicago), J. Loveday (University of Sussex), R. Scoccimarro (IAS), R. Sheth (FNAL), A. Stebbins (FNAL), A. Szalay (Johns Hopkins University), I. Szapudi (CITA), M. Strauss (Princeton University), M. Tegmark (University of Pennsylvania), M. Vogeley (Drexel University), I. Zehavi (FNAL), SDSS Collaboration
We present the first results of measurements of the angular clustering in the Sloan Digital Sky Survey commissioning data. The data in question was taken over two nights March 1999, covering approximately 230 square degrees and containing roughly one million galaxies down to r\prime < 21 in the SDSS filters. The data have been analyzed independently by multiple members of the collaboration and using a number of different means for selecting galaxies from the whole data set and different approaches to measuring the autocorrelation. All of these methods are found to agree within error. We have also analyzed the effect of various systematic effects on the star-galaxy separation including dereddening, seeing, bright stars, and stellar contamination. Using preliminary fits from the SDSS spectroscopic survey to a Schechter luminosity function, we also calculate an inversion of our measured w(\theta) to find the three-dimensional power spectrum.
The SDSS is a joint project of the University of Chicago, Fermilab, the Institute for Advanced Study, the Japan Participation Group, Johns Hopkins University, Max-Planck-Institute for Astronomy, Princeton University, United States Naval Observatory and the University of Washington. Funding has been provided by the Alfred P. Sloan Foundation, the member institutions, NASA, NSF, the U.S. DoE, and the Ministry of Education of Japan.
The author(s) of this abstract have provided an email address for comments about the abstract: scranton@oddjob.uchicago.edu